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    • 21. 发明申请
    • MULTI-EVENT TYPE MONITORING AND SEARCHING
    • 多事件类型监控和搜索
    • US20090183177A1
    • 2009-07-16
    • US12013706
    • 2008-01-14
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • G06F3/00
    • G06Q10/10
    • Multiple event types are monitored for events, and surveillance data is stored for each event. Surveillance data for a primary event of one event type can be presented to a user, and surveillance data for a set of related events corresponding to another event type can be presented based on a set of relatedness criteria and the surveillance data for the primary event. A user can adjust the relatedness criteria to filter/adjust the surveillance data presented for the related event(s). A user interface can enable the user to simultaneously view the surveillance data for both events and adjust the relatedness criteria. In an illustrative application, the invention is utilized to detect fraudulent merchandise returns in a retail store.
    • 监视事件的多个事件类型,并为每个事件存储监视数据。 可以向用户呈现一种事件类型的主要事件的监视数据,并且可以基于一组相关性标准和主事件的监视数据来呈现与另一事件类型相对应的一组相关事件的监视数据。 用户可以调整相关性标准来过滤/调整相关事件所呈现的监视数据。 用户界面可以使用户能够同时查看两个事件的监视数据,并调整相关性标准。 在示例性应用中,本发明用于检​​测零售商店中的欺诈性商品退货。
    • 24. 发明授权
    • Key frame selection
    • 关键帧选择
    • US08107015B1
    • 2012-01-31
    • US08870836
    • 1997-06-06
    • Arun HampapurMojgan Monika GorkaniChiao-Fe ShuAmarnath Gupta
    • Arun HampapurMojgan Monika GorkaniChiao-Fe ShuAmarnath Gupta
    • H04N7/18
    • G11B27/28H04N5/147
    • A system and method that processes video to extract a keyframe-based adequate visual representation. The method utilizes a hierarchical processing technique. The first stage in the hierarchy extracts a chromatic difference metric from a pair of video frames. An initial set of frames is chosen based on the chromatic metric and a threshold. A structural difference measurement is extracted from this initial set of frames. A second threshold is used to select key frames from the initial set. The first and second thresholds are user selectable. The output of this process is the visual representation. The method is extensible to any number of metrics and any number of levels.
    • 一种处理视频以提取基于关键帧的足够视觉表示的系统和方法。 该方法采用分层处理技术。 层次中的第一阶段从一对视频帧中提取色差度量。 基于色度度量和阈值来选择一组初始帧。 从该初始帧组提取结构差异测量。 第二个阈值用于从初始集合中选择关键帧。 第一和第二阈值是用户可选择的。 该过程的输出是视觉表示。 该方法可扩展到任何数量的度量和任意数量的级别。